biomod2: Ensemble Platform for Species Distribution Modeling

Functions for species distribution modeling, calibration and evaluation, ensemble of models, ensemble forecasting and visualization. The package permits to run consistently up to 10 single models on a presence/absences (resp presences/pseudo-absences) dataset and to combine them in ensemble models and ensemble projections. Some bench of other evaluation and visualisation tools are also available within the package.

Version: 3.5.1
Depends: R (≥ 3.4.0)
Imports: stats, utils, lattice, sp, raster, parallel, reshape, ggplot2, abind, rasterVis, pROC (≥ 1.15.0), nnet, gbm (≥ 2.1.3), mda, randomForest, rpart, MASS, methods, PresenceAbsence, dismo, caret, ENMeval, doParallel, foreach, earth, dplyr, tidyr, checkmate, maxnet, purrr, rlang
Suggests: ade4, foreign, Hmisc, mgcv, gam, testthat, ecospat
Published: 2021-06-11
Author: Wilfried Thuiller [aut, cre], Damien Georges [aut, cre], Maya Gueguen [aut], Robin Engler [aut], Frank Breiner [aut]
Maintainer: Damien Georges <damien.georges2 at gmail.com>
Contact: Wilfried Thuiller <wilfried.thuiller@ujf-grenoble.fr>, Damien Georges <damien.georges2@gmail.com>, Maya Gueguen <maya.gueguen@univ-grenoble-alpes.fr>
BugReports: https://r-forge.r-project.org/forum/forum.php?eforum_id=995&group_id=302
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: biomod2 results

Documentation:

Reference manual: biomod2.pdf

Downloads:

Package source: biomod2_3.5.1.tar.gz
Windows binaries: r-devel: biomod2_3.5.1.zip, r-release: biomod2_3.5.1.zip, r-oldrel: biomod2_3.5.1.zip
macOS binaries: r-release (arm64): biomod2_3.5.1.tgz, r-oldrel (arm64): biomod2_3.5.1.tgz, r-release (x86_64): biomod2_3.5.1.tgz, r-oldrel (x86_64): biomod2_3.5.1.tgz
Old sources: biomod2 archive

Reverse dependencies:

Reverse imports: ecospat, spm
Reverse suggests: rangeModelMetadata

Linking:

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